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Updated: May 29, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

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UniLF:一种新的短期负载预测模型,统一考虑多变量负载数据的各种特征.

Shiyang Zhou1, Qingyong Zhang1, Peng Xiao2

  • 1School of Automation, Wuhan University of Technology, Wuhan, China.

Scientific reports
|February 5, 2025
PubMed
概括

本研究介绍了UniLF,这是一种基于变压器的新型模型,用于准确的短期负载预测 (STLF). UniLF 均地利用多变量负载数据特征,提高了电力系统稳定性的预测准确性.

关键词:
卷积增强-融合嵌入 卷积增强-融合嵌入深度学习是一种深度学习.面具引导的多尺度交互式自我注意力机制.短期负载预测 短期负载预测智能电网是一个智能电网.

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